If there are no missing values then a rolling sum is just n * rolling mean so you can use your rolling mean.
Also see: http://tolstoy.newcastle.edu.au/R/help/04/10/5161.html In the zoo package see rollapply and rollmean. In the caTools package see runmean and runsum.exact. runmean is particularly fast. On Feb 13, 2008 11:25 AM, joshv <[EMAIL PROTECTED]> wrote: > > Hello, I'm new to R and would like to know how to create a vector of "rolling > sums". (I have seen the Rmetrics package and the rollMean function and I > would like to do the same thing except Sum instead of Mean.) I imagine > someone has done this, I just can't find it anywhere. > > Example: > x <- somevector #where x is 'n' entries long > > #what I would like to do is: > > x1 <- x[1:20] > output1 <- sum(x1) > > x2 <- x[2:21] > output2 <- sum(x2) > > x3 <- ... > > ouput <- c(output1, output2, ...) > > > Thanks, > JV > -- > View this message in context: > http://www.nabble.com/rolling-sum-%28like-in-Rmetrics-package%29-tp15459848p15459848.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
